Evidence map›Paper›PMID 37350938›Full record

ArticleFrontiers in oncology2023

Cancer survival: left truncation and comparison of results from hospital-based cancer registry and population-based cancer registry.

Jian-Guo Chen, Hai-Zhen Chen, Jian Zhu, Ai-Guo Shen, Xiang-Yang Sun, Donald Maxwell Parkin

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jian-Guo ChenDepartment of Epidemiology, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Hai-Zhen ChenDepartment of Epidemiology, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Jian ZhuDepartment of Epidemiology, Qidong Liver Cancer Institute, Qidong People's Hospital, Affiliated Qidong Hospital of Nantong University, Qidong, China.
Ai-Guo ShenDepartment of Epidemiology, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Xiang-Yang SunDepartment of Epidemiology, Nantong Tumor Hospital, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Donald Maxwell ParkinNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Cancer survival is an important indicator for evaluating cancer prognosis and cancer care outcomes. The incidence dates used in calculating survival differ between population-based registries and hospital-based registries. Studies examining the effects of the left truncation of incidence dates and delayed reporting on survival estimates are scarce in real-world applications. Methods: Cancer cases hospitalized at Nantong Tumor Hospital during the years 2002-2017 were traced with their records registered in the Qidong Cancer Registry. Survival was calculated using the life table method for cancer patients with the first visit dates recorded in the hospital-based cancer registry (HBR) as the diagnosis date ( Results: Among 2,636 cases, 1,307 had incidence dates registered in PBR prior to the diagnosis dates of the first hospitalization registered in HBR, while 667 cases with incidence dates registered in PBR were later than the diagnosis dates registered in HBR. The 5-year Conclusion: Left truncation of survival in HBR cases was demonstrated. The pseudo-left truncation in PBR should be reduced by controlling delayed reporting and maximizing completeness. Our study provides practical references and suggestions for evaluating the survival of cancer patients with HBR and PBR.

Indexed as

delayed reporthospital-based cancer registryleft truncationneoplasmpopulation-based cancer registrysurvival

Identifiers

PMID37350938
PMCPMC10284078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.